The collection of pre-trained, state-of-the-art models for C++.
ailia SDK is a cross-platform high speed inference SDK. The ailia SDK provides a consistent C++ API on Windows, Mac, Linux, iOS, Android and Jetson. It supports Unity, Python and JNI for efficient AI implementation. The ailia SDK makes great use of the GPU via Vulkan and Metal to serve accelerated computing.
You can download a free evaluation version that allows you to evaluate the ailia SDK for 30 days. Please download from the trial link below.
Copy the files located in the folder [ailia SDK]/l?ibrary/ t?o the folder ./ailia/library/.
gnumake and Visual Studio 2015 or newer are required. http://gnuwin32.sourceforge.net/packages/make.htm
Xcode Commandline Tools are required, they can be installed by running the command.
xcode-select --install
OpenCV is also required, it can be installed by running the command.
brew install opencv.
OpenCV is also required, it can be installed by running the command.
apt install libopencv-dev
cd yolov3-face
export AILIA_LIBRARY_PATH=../ailia/library
cmake .
make
We are now converting to C++. Please wait to complete conversion.
| Name | Detail | Exported From | Supported Ailia Version |
|---|---|---|---|
| resnet50 | Deep Residual Learning for Image Recognition | Chainer | 1.2.0 and later |
| Name | Detail | Exported From | Supported Ailia Version |
|---|---|---|---|
| U-2-Net | U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection | Pytorch | 1.2.2 and later |
| Name | Detail | Exported From | Supported Ailia Version |
|---|---|---|---|
| yolov3-tiny | YOLO: Real-Time Object Detection | ONNX Runtime | 1.2.1 and later |
| yolov3-face | YOLO: Real-Time Object Detection | ONNX Runtime | 1.2.1 and later |
| m2det | M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network | Pytorch | 1.2.3 and later |
| Name | Detail | Exported From | Supported Ailia Version |
|---|---|---|---|
| lightweight-human-pose-estimation | Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper. | Pytorch | 1.2.1 and later |
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